Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (14/14 displayed)

  • 2023In-process non-destructive evaluation of metal additive manufactured components at build using ultrasound and eddy-current approaches11citations
  • 2023In-process non-destructive evaluation of metal additive manufactured components at build using ultrasound and eddy-current approaches11citations
  • 2022Collaborative robotic wire + arc additive manufacture and sensor-enabled in-process ultrasonic non-destructive evaluation16citations
  • 2022Automated multi-modal in-process non-destructive evaluation of wire + arc additive manufacturingcitations
  • 2022In-process non-destructive evaluation of wire + arc additive manufacture components using ultrasound high-temperature dry-coupled roller-probecitations
  • 2022Collaborative robotic Wire + Arc Additive Manufacture and sensor-enabled in-process ultrasonic Non-Destructive Evaluation16citations
  • 2019Remanufacture of hot forging tools and dies using laser metal deposition with powder and a hard-facing alloy Stellite 21®56citations
  • 2018Remanufacture of hot forging tools and dies using Laser Metal Deposition with powder and a hard-facing alloy Stellite 21®56citations
  • 2018Remanufacture of hot forging tools and dies using Laser Metal Deposition with powder and a hard-facing alloy Stellite 21®56citations
  • 2017A full factorial numerical investigation and validation of precision end milling process for hardened tool steelcitations
  • 2016Investigating relationships between laser metal deposition deployment conditions and material microstructural evolutioncitations
  • 2016Remanufacturing H13 steel moulds and dies using laser metal depositioncitations
  • 2016Wear behaviour of laser cladded Ni-based WC composite coating for Inconel hot extrusioncitations
  • 2012Correcting for a Density Distribution: Particle Size Analysis of Core-Shell Nanocomposite Particles Using Disk Centrifuge Photosedimentometry35citations

Places of action

Chart of shared publication
Halavage, Steven
6 / 6 shared
Loukas, Charalampos
6 / 13 shared
Mohseni, Ehsan
4 / 22 shared
Ding, Jialuo
5 / 39 shared
Williams, Stewart
6 / 39 shared
Rizwan, Muhammad Khalid
3 / 4 shared
Macleod, Charles N.
5 / 45 shared
Misael, Pimentel Espirindio E. Silva
5 / 5 shared
Mckegney, Scott
6 / 6 shared
Lines, David
6 / 18 shared
Wathavana Vithanage, Randika Kosala
4 / 11 shared
Foster, Euan A.
2 / 2 shared
Zimermann, Rastislav
6 / 9 shared
Vasilev, Momchil
6 / 17 shared
Pierce, Stephen
3 / 51 shared
Mohseni, Ehsan
2 / 4 shared
Pierce, Stephen Gareth
3 / 3 shared
Vithanage, Randika K. W.
2 / 2 shared
Dingv, Jialuo
1 / 1 shared
Misael Pimentel, Espirindio E. Silva
1 / 1 shared
Javadi, Yashar
2 / 31 shared
Macdonald, Charles
1 / 1 shared
Foster, Euan
1 / 8 shared
Gachagan, Anthony
1 / 76 shared
Hall, Liza
2 / 2 shared
Payne, Grant
5 / 5 shared
Foster, Jim
2 / 2 shared
Marashi, James
3 / 5 shared
Cullen, Crawford
2 / 2 shared
Foster, James
1 / 3 shared
Hall, Elizabeth
1 / 2 shared
Cullen, George
1 / 1 shared
Luo, Xichun
1 / 10 shared
Reimer, Andreas
1 / 1 shared
Wilson, Michael
2 / 2 shared
Xirouchakis, Paul
2 / 6 shared
Ion, William
2 / 14 shared
Ahmad, Abdul Ossman
2 / 3 shared
Blackwell, Paul
1 / 41 shared
Mcintosh-Grieve, Lynne
1 / 1 shared
Falsafi, Javad
1 / 4 shared
Fowler, Patrick W.
1 / 2 shared
Mittal, Vikas
1 / 5 shared
Armes, Steven P.
1 / 35 shared
Fielding, Lee A.
1 / 17 shared
Mykhaylyk, Oleksandr O.
1 / 7 shared
Chart of publication period
2023
2022
2019
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2016
2012

Co-Authors (by relevance)

  • Halavage, Steven
  • Loukas, Charalampos
  • Mohseni, Ehsan
  • Ding, Jialuo
  • Williams, Stewart
  • Rizwan, Muhammad Khalid
  • Macleod, Charles N.
  • Misael, Pimentel Espirindio E. Silva
  • Mckegney, Scott
  • Lines, David
  • Wathavana Vithanage, Randika Kosala
  • Foster, Euan A.
  • Zimermann, Rastislav
  • Vasilev, Momchil
  • Pierce, Stephen
  • Mohseni, Ehsan
  • Pierce, Stephen Gareth
  • Vithanage, Randika K. W.
  • Dingv, Jialuo
  • Misael Pimentel, Espirindio E. Silva
  • Javadi, Yashar
  • Macdonald, Charles
  • Foster, Euan
  • Gachagan, Anthony
  • Hall, Liza
  • Payne, Grant
  • Foster, Jim
  • Marashi, James
  • Cullen, Crawford
  • Foster, James
  • Hall, Elizabeth
  • Cullen, George
  • Luo, Xichun
  • Reimer, Andreas
  • Wilson, Michael
  • Xirouchakis, Paul
  • Ion, William
  • Ahmad, Abdul Ossman
  • Blackwell, Paul
  • Mcintosh-Grieve, Lynne
  • Falsafi, Javad
  • Fowler, Patrick W.
  • Mittal, Vikas
  • Armes, Steven P.
  • Fielding, Lee A.
  • Mykhaylyk, Oleksandr O.
OrganizationsLocationPeople

document

In-process non-destructive evaluation of wire + arc additive manufacture components using ultrasound high-temperature dry-coupled roller-probe

  • Halavage, Steven
  • Loukas, Charalampos
  • Mohseni, Ehsan
  • Ding, Jialuo
  • Williams, Stewart
  • Macleod, Charles N.
  • Misael, Pimentel Espirindio E. Silva
  • Mckegney, Scott
  • Lines, David
  • Wathavana Vithanage, Randika Kosala
  • Zimermann, Rastislav
  • Fitzpatrick, Stephen
  • Vasilev, Momchil
  • Pierce, Stephen
Abstract

In 2019, the global metal Additive Manufacturing (AM) market size was valued at € 2.02 billion and was predicted to grow by up to 27.9% annually until 2024. Additive Manufacturing plays a significant role in Industry 4.0, where the demand for smart factories capable of fabricating high-quality customized products cost-efficiently exists. Wire + Arc Additive Manufacturing (WAAM) is one such technique that WAAM utilizes industrial robotics and arc-based welding processes to produce components on a layer-by-layer basis. is enables automated, time and material-efficient production of high-value and geometrically complex metal parts. To strengthen the benefits, the demand for robotically deployed in-process Non-Destructive Evaluation (NDE) has risen, aiming to replace manually deployed inspection techniques deployed after the full part completion. <br/>The research presents a new synchronized multi-robot WAAM deposition &amp; ultrasound NDE cell aiming to achieve defect detection in-process, enable possible in-process repair, and prevent costly scrappage or rework. Within the cell, the plasma-arc WAAM process, controlled by deposition software, is employed to build components. The full external control NDE approach is achieved by the real-time force/torque sensor-enabled adaptive kinematics control package. A high-temperature dry-coupled ultrasound roller-probe device is employed to assess the structural integrity of freshly deposited layers of WAAM components. The WAAM roller-probe is tailored to facilitate the in-process inspection by dry-coupling coupling with the hot (&lt; 350 °C) non-flat surface of WAAM using a flexible outer silicone tyre and solid core delay-line at speed and at coupling high force[1-3].<br/>The demonstration of the in-process inspection approach is performed on hot as-built titanium (Ti-6Al-4V) WAAM samples. The defect detection capabilities are assessed on artificial tungsten reflectors embedded in WAAM builds. In this work the defect detection is accomplished and analyzed using two separate approaches 1) layer-specific beamforming focusing imaging and 2) volumetric inspection using post-processing algorithms applied on collected Full Matric Capture data. The ultrasound in-process inspection using the dry-coupled roller-probe is driven by live Ultrasound Testing (UT) data acquisition, initiated within a minute from layer deposition completion. The collected UT B-scan frames are based on electronically focused beamforming through the roller-probe media into the depth of targeted layers.Subsequently, the results are presented on a plotted C-scan image, showing a top view over the interior of the targeted built volume. The results in this work are analyzed and compared to the X-ray computed tomography scan, conducted after the full-built completion and sample processing. The processed UT images show positionally accurate detection of embedded tungsten reflectors, with a minimum of 15 dB of signal-to-noise ratio. An accurate size estimation is also achieved for the tungsten defect extended along the sample’s length. <br/>The outcome of this research shows a successful defect detection and hence directly supports the industrial benefits of the WAAM process intending to achieve the automated production of first-time-right parts.<br/>

Topics
  • Deposition
  • impedance spectroscopy
  • surface
  • defect
  • titanium
  • tungsten
  • wire
  • additive manufacturing
  • computed tomography scan